Utilizing High Resolution Bus GPS Data to Visualize and ...
Transcript of Utilizing High Resolution Bus GPS Data to Visualize and ...
Portland State University Portland State University
PDXScholar PDXScholar
TREC Friday Seminar Series Transportation Research and Education Center (TREC)
1-22-2016
Utilizing High Resolution Bus GPS Data to Visualize Utilizing High Resolution Bus GPS Data to Visualize
and Identify Congestion Hot-spots in Urban Arterials and Identify Congestion Hot-spots in Urban Arterials
Nicholas B. Stoll Portland State University, [email protected]
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Recommended Citation Recommended Citation Stoll, Nicholas B., "Utilizing High Resolution Bus GPS Data to Visualize and Identify Congestion Hot-spots in Urban Arterials" (2016). TREC Friday Seminar Series. 91. https://pdxscholar.library.pdx.edu/trec_seminar/91
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Utilizing High-Resolution Bus GPS Data to Visualize and Identify Congestion Hot Spots in Urban Arterials
Project PI — Miguel A. FigliozziGRAs — Nicholas B. Stoll & Travis B. Glick
Friday, January 22nd, 2016
Presentation Overview
• Background & Purpose• Methodology• Data visualizations
• Point Level• Segment Level
• Delay Analysis• Next steps and future research ideas
Background & Purpose
• Utilize a new data set
• 5 Second Resolution (“breadcrumb”)
• Buses as speed probes
• Build upon previous research
5-SR Data Analysis
450 ft.50 ft. 100 ft. 150 ft. 200 ft. 250 ft. 300 ft. 350 ft. 400 ft.
Time 1
Time 2
Time 3
5-SR Data Analysis
450 ft.50 ft. 100 ft. 150 ft. 200 ft. 250 ft. 300 ft. 350 ft. 400 ft.
Time 2
Time 3
Speed 1
Speed 2
Speed 3
C ≈ 0.49
C ≈ 0.15
C ≈ 0.97
C = Centerness Factor
Time 1
5-SR Data Analysis
450 ft.50 ft. 100 ft. 150 ft. 200 ft. 250 ft. 300 ft. 350 ft. 400 ft.
Time 2
Time 3
Speed 1
Speed 3
Speed 2
C ≈ 0.65
C ≈ 0.71
C ≈ 0.34
C = Centerness Factor
Time 1
5-SR Data Analysis
450 ft.50 ft. 100 ft. 150 ft. 200 ft. 250 ft. 300 ft. 350 ft. 400 ft.
Time 2
Time 3
Speed 1
Speed 2
Speed 3
C ≈ 0.30
C ≈ 0.56
C ≈ 0.38
C = Centerness Factor
Time 1
5-Second Resolution Data
Point Distribution
Point Distribution at Bus Stops for buses that STOPPowell and 87th
12th & Milwaukie
Powell and 82nd
W
W
W
Powell and 87th Powell and 82ndW W Powell and 87thW
Route Segment Visualizations
Urban Corridor
Westbound Route 9 – Points of Interest
Lets Start Here -SE Powell and Milwaukie (12th)
Bus Stop (BS)Intersection (INT)
B
B
A
A
Speed profile for all buses over 1 daySpeed (1 day)
A
B
Speed (5 day)
A
B
Speed profile for all buses over 5 days
A
B
Westbound Route 9 -3400 ft. Segment from 92nd to 78th
BS-87th
BS-90thBS-84th
SE Powell & 82nd
BS-82nd
BS-79th
Westbound
Bus Stop (BS)Intersection (INT)
Bus Stop (BS)Intersection (INT)
Bus Stop (BS)Intersection (INT)
Bus Stop (BS)Intersection (INT)
Route Segment Visualizations
Urban Streets
• ABC
Downtown SW 4th and SW 6th
Points of Interest
N
Speed Profile on SW 6th
Speed Profile for all buses in Downtown: Crosswalks
A
C
B
Delay Visualizations
Urban Corridors
Delay over a segment by Distance
8.512
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Dela
y [s
econ
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Delay per 25ft IntervalBS - SE 79th Int - Powell & 82nd BS - SE 87thBS - SE 82nd BS - SE 84th BS - SE 90th
Cumulative Delay over a segment by Distance
020406080100120140160180
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Dela
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econ
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Cumulative DelayBS - SE 79th Int - Powell & 82nd BS - SE 87thBS - SE 82nd BS - SE 84th BS - SE 90th
Delay over a segment by Time of Day
020406080
100120140160180200220
4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 0 1
Dela
y [s
ec]
Time [HH]
Bus Delay from Freeflow Traffic Speed from 90th to 79th
Actual Delay 30 mph 25 mph 20 mph 15mph 10mph
Some Potential Applications
• Buses as probes for traffic conditions• Applications to PMs along urban arterials, collector streets
and freeway sections (wherever there are buses running on regular routes)
• Complement Bluetooth, cell phone, and stationary sensor collection systems
• Compare before and after conditions (e.g. changes in roadway design or signal timing, additional crosswalks)
Acknowledgements
NITC for funding this Research
Steve Callas and Miles Crumley of TriMet for providing the data and definitions used in analysis
Dennis Mitchel of ODOT for providing feedback and suggestions for potential applications
And to the researchers who lay the groundwork for this analysis.
Thank you for listening.
Any Questions?